Deep Gaussian Covariance Network. - Kevin Cremanns; Dirk Roos (CoRR, 2017)

Local Latin hypercube refinement for multi-objective design uncertainty optimization. - Can Bogoclu; Dirk Roos; Tamara Nestorovic (Appl. Soft Comput., 2021)

Electricity generation in a microbial fuel cell with textile carbon fibre anodes. - Peter Farber; Jens Gräbel; Norman Kroppen; Liesa Pötschke; Dirk Roos; Miriam Rosenbaum; Georg Stegschuster; Peer Ueberholz (Comput. Math. Appl., 2021)

Gradient and Uncertainty Enhanced Sequential Sampling for Global Fit. - Sven Lämmle; Can Bogoclu; Kevin Cremanns; Dirk Roos (CoRR, 2023)

Quantifying Local Model Validity using Active Learning. - Sven Lämmle; Can Bogoclu; Robert Vosshall; Anselm Haselhoff; Dirk Roos (UAI, 2024)

Intelligent Optimization and Machine Learning Algorithms for Structural Anomaly Detection using Seismic Signals. - Maximilian Trapp; Can Bogoclu; Tamara Nestorovic; Dirk Roos (CoRR, 2024)

Deep Gaussian Covariance Network with Trajectory Sampling for Data-Efficient Policy Search. - Can Bogoclu; Robert Vosshall; Kevin Cremanns; Dirk Roos (CoRR, 2024)